4 papers
Average-Power-Budgeted Underwater Vehicle Control via Constrained Reinforcement Learning
Yinuo Wang, Gavin Tao, Yuze Liu +1
Underwater vehicles operate from a fixed onboard energy budget that propulsion rapidly depletes, so a controller that completes its task while drawing less thruster power directly…
HuMam: Humanoid Motion Control via End-to-End Deep Reinforcement Learning with Mamba
Yinuo Wang, Yuanyang Qi, Jinzhao Zhou +2
End-to-end reinforcement learning (RL) for humanoid locomotion is appealing for its compact perception-action mapping, yet practical policies often suffer from training instability…
LocoMamba: Vision-Driven Locomotion via End-to-End Deep Reinforcement Learning with Mamba
Yinuo Wang, Gavin Tao
We introduce LocoMamba, a vision-driven cross-modal DRL framework built on selective state-space models, specifically leveraging Mamba, that achieves near-linear-time sequence mode…
QuadKAN: KAN-Enhanced Quadruped Motion Control via End-to-End Reinforcement Learning
Yinuo Wang, Gavin Tao
We address vision-guided quadruped motion control with reinforcement learning (RL) and highlight the necessity of combining proprioception with vision for robust control. We propos…